facedetectdir.py

#!/usr/bin/env python
import os
import fnmatch
import numpy as np
import cv2
import cv2.cv as cv
from video import create_capture
from common import clock, draw_str

help_message = '''
USAGE: facedetect.py [--cascade <cascade_fn>] [--nested-cascade <cascade_fn>] [<video_source>]
'''

def yieldfiles (dirname):
    
    images = ['*.jpg', '*.jpeg', '*.png', '*.tif', '*.tiff']
    
    for root, dirnames, filenames in os.walk(dirname):
        for extensions in images:
            for filename in fnmatch.filter(filenames, extensions):
                yield os.path.join(root, filename)


def detect(img, cascade):
    rects = cascade.detectMultiScale(img, scaleFactor=1.3, minNeighbors=4, minSize=(30, 30), flags = cv.CV_HAAR_SCALE_IMAGE)
    if len(rects) == 0:
        return []
    rects[:,2:] += rects[:,:2]
    return rects

def draw_rects(img, rects, color):
    for x1, y1, x2, y2 in rects:
        cv2.rectangle(img, (x1, y1), (x2, y2), color, 2)

if __name__ == '__main__':
    import sys, getopt
    print help_message

    args, video_src = getopt.getopt(sys.argv[1:], '', ['cascade=', 'nested-cascade='])
    args = dict(args)
    cascade_fn = args.get('--cascade', "../../data/haarcascades/haarcascade_frontalface_alt.xml")
    nested_fn  = args.get('--nested-cascade', "../../data/haarcascades/haarcascade_eye.xml")
    img_dir = args.get ('--dir', "/Users/arman/wcs/cvpyxcode/cvpy/sunglasses/true")
    
    cascade = cv2.CascadeClassifier(cascade_fn)
    nested = cv2.CascadeClassifier(nested_fn)

for fname in yieldfiles (img_dir):
        img = cv2.imread(fname)
        im = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
        gray = np.asarray(im, dtype=np.uint8)
        gray = cv2.equalizeHist(gray)

        t = clock()
        rects = detect(gray, cascade)
        vis = img.copy()
        draw_rects(vis, rects, (0, 255, 0))
        for x1, y1, x2, y2 in rects:
            roi = gray[y1:y2, x1:x2]
            vis_roi = vis[y1:y2, x1:x2]
            subrects = detect(roi.copy(), nested)
            draw_rects(vis_roi, subrects, (255, 0, 0))
        dt = clock() - t

        draw_str(vis, (20, 20), 'time: %.1f ms' % (dt*1000))
        cv2.imshow('facedetect', vis)
        cv2.waitKey(0)
        cv2.destroyAllWindows()